{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Exploring ICESat-2 data\n",
    "\n",
    "Some ideas for using the higher level sea ice products\n",
    "\n",
    "Notebook author: Alek Petty\n",
    "Description: Notebook describing some extra ICESat-2 sea ice ideas.   \n",
    "Input requirements: ?  \n",
    "Date: June 2019\n",
    "\n",
    "\n",
    "## Notebook objectives\n",
    "* Provide some additional exampels of using higher level data products\n",
    "* Provide some data and readers for other datasets of possible use - i.e. NESOSIM.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Magic function to enable interactive plotting in Jupyter notebook\n",
    "#Allows you to zoom/pan within plots after generating\n",
    "#Normally, this would be %matplotlib notebook, but since we're using Juptyerlab, we need a different widget\n",
    "#%matplotlib notebook\n",
    "%matplotlib inline\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "#Import necesary modules\n",
    "#Use shorter names (np, pd, plt) instead of full (numpy, pandas, matplotlib.pylot) for convenience\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import cartopy.crs as ccrs\n",
    "import numpy.ma as ma\n",
    "import pandas as pd\n",
    "from scipy.interpolate import griddata\n",
    "import h5py\n",
    "import s3fs\n",
    "import readers as rd\n",
    "import xarray as xr\n",
    "import utils as ut\n",
    "\n",
    "# Use seasborn for nicer looking inline plots if available \n",
    "#import seaborn as sns\n",
    "#sns.set(context='notebook', style='darkgrid')\n",
    "#st = axes_style(\"whitegrid\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "upload: ../Data/NESOSIM-OSISAFsig150_ERAI_sf_SICCDR_Rhovariable_IC3_DYN1_WP1_LL1_WPF5.8e-07_WPT5_LLF2.9e-07-100kmnrt3-15082018-31012019.nc to s3://pangeo-data-upload-oregon/icesat2/NESOSIM-OSISAFsig150_ERAI_sf_SICCDR_Rhovariable_IC3_DYN1_WP1_LL1_WPF5.8e-07_WPT5_LLF2.9e-07-100kmnrt3-15082018-31012019.nc\n"
     ]
    }
   ],
   "source": [
    "!aws s3 cp ../Data/NESOSIM-OSISAFsig150_ERAI_sf_SICCDR_Rhovariable_IC3_DYN1_WP1_LL1_WPF5.8e-07_WPT5_LLF2.9e-07-100kmnrt3-15082018-31012019.nc s3://pangeo-data-upload-oregon/icesat2/NESOSIM-OSISAFsig150_ERAI_sf_SICCDR_Rhovariable_IC3_DYN1_WP1_LL1_WPF5.8e-07_WPT5_LLF2.9e-07-100kmnrt3-15082018-31012019.nc\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Comment out the last command if you've already got the data in the Data dir\n",
    "NESOSIMfilePath='NESOSIM-OSISAFsig150_ERAI_sf_SICCDR_Rhovariable_IC3_DYN1_WP1_LL1_WPF5.8e-07_WPT5_LLF2.9e-07-100kmnrt3-15082018-31012019.nc'\n",
    "localFilePath='../Data/'\n",
    "fs = s3fs.S3FileSystem()\n",
    "dataDir = 'pangeo-data-upload-oregon/icesat2/'\n",
    "#fs.get(dataDir+NESOSIMfilePath, localFilePath+NESOSIMfilePath)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (x: 69, y: 69)\n",
       "Coordinates:\n",
       "    day        int32 20181115\n",
       "Dimensions without coordinates: x, y\n",
       "Data variables:\n",
       "    longitude  (x, y) float32 -90.0 -89.1449 -88.2643 ... 91.7357 90.8551 90.0\n",
       "    latitude   (x, y) float32 ...\n",
       "    snowDepth  (x, y) float32 nan nan nan nan nan nan ... nan nan nan nan nan\n",
       "    snowVol    (x, y) float32 ...\n",
       "    density    (x, y) float32 nan nan nan nan nan nan ... nan nan nan nan nan\n",
       "    Precip     (x, y) float32 ...\n",
       "    iceConc    (x, y) float32 0.0 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0\n",
       "    windMag    (x, y) float32 ...\n",
       "    airTemp2m  (x, y) float32 ...\n",
       "    mask       (x, y) int64 1 1 1 1 1 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1 1 1 1 1 1\n",
       "Attributes:\n",
       "    author:       Alek Petty\n",
       "    contact:       alek.a.petty@nasa.gov, www.alekpetty.com, @alekpetty\n",
       "    description:  Daily NESOSI snow budget data\n",
       "    history:      Created 22/04/19\n",
       "    data_range:   Date range of the snow budgets: 20180816-20190201"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dateStr='20181115'\n",
    "\n",
    "def getNESOSIM(fileSnowT, dateStrT):\n",
    "    \"\"\" Grab the NESOSIM data and pick the day from a given date string.\n",
    "        Uses the xarray package (files were generated using xarray so works nicely)..\n",
    "        \n",
    "        Returns an xarray Dataset\n",
    "    \n",
    "    \"\"\"\n",
    "    \n",
    "    dN = xr.open_dataset(fileSnowT)\n",
    "\n",
    "    # Get NESOSIM snow depth and density data for that date\n",
    "    dNday = dN.sel(day=int(dateStrT))\n",
    "    \n",
    "    # Provide additional mask variable\n",
    "    mask = np.ones((dNday['longitude'].values.shape)).astype('int')\n",
    "    mask[np.where((dNday['snowDepth']>0.02)&(dNday['snowDepth']<1)&(dNday['iceConc']>0.15)&np.isfinite(dNday['density']))]=0\n",
    "    \n",
    "    dNday['mask'] = (('x', 'y'), mask)\n",
    "    return dNday\n",
    "\n",
    "dNday= getNESOSIM(localFilePath+NESOSIMfilePath, dateStr)\n",
    "dNday"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 630x630 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Map the data for visual inspection usign Cartopy\n",
    "var='snowDepth'\n",
    "plt.figure(figsize=(7,7), dpi= 90)\n",
    "# Make a new projection \"NorthPolarStereo\"\n",
    "ax = plt.axes(projection=ccrs.NorthPolarStereo(true_scale_latitude=70))\n",
    "plt.pcolormesh(dNday['longitude'], dNday['latitude'],ma.masked_where(dNday['mask']==1,dNday[var]) , cmap='viridis', transform=ccrs.PlateCarree())\n",
    "\n",
    "ax.coastlines()\n",
    "#ax.drawmeridians()\n",
    "plt.colorbar(label=var, shrink=0.5, extend='both')\n",
    "\n",
    "# Limit the map to -60 degrees latitude and below.\n",
    "ax.set_extent([-180, 180, 90, 60], ccrs.PlateCarree())\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Map projection\n",
    "projection=ccrs.NorthPolarStereo(true_scale_latitude=70)\n",
    "# Source coordinate system (PlateCarree - lon/lat)\n",
    "pc_wgs1= ccrs.PlateCarree()\n",
    "#pc_wgs2= ccrs.PlateCarree(globe=ellipsoid)\n",
    "#pc_sphere = ccrs.PlateCarree(globe=sphere)\n",
    "\n",
    "# Project the lat/lon data to x/y on the given projection using Cartopy\n",
    "r1 = projection.transform_points(pc_wgs1, np.array(dNday.longitude), np.array(dNday.latitude), np.array(dNday.snowDepth))\n",
    "# 0 index is xpts, 1 index is ypts, 2 index is the transformed input data\n",
    "xptsN=r1[:, :, 0]\n",
    "yptsN=r1[:, :, 1]\n",
    "snowDepthProj=r1[:, :, 2]\n",
    "\n",
    "r2 = projection.transform_points(pc_wgs1, np.array(dNday.longitude), np.array(dNday.latitude), np.array(dNday.density))\n",
    "# 0 index is xpts, 1 index is ypts, 2 index is the transformed input data\n",
    "xptsN=r2[:, :, 0]\n",
    "yptsN=r2[:, :, 1]\n",
    "snowDensityProj=r2[:, :, 2]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 630x630 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Check that this map looks the same as the above! \n",
    "\n",
    "plt.figure(figsize=(7,7), dpi= 90)\n",
    "# Make a new projection \"NorthPolarStereo\"\n",
    "ax = plt.axes(projection=ccrs.NorthPolarStereo(true_scale_latitude=70))\n",
    "plt.pcolormesh(xptsN, yptsN,snowDepthProj , cmap='viridis')\n",
    "\n",
    "ax.coastlines()\n",
    "#ax.drawmeridians()\n",
    "plt.colorbar(label='snowDepth (m)', shrink=0.5, extend='both')\n",
    "\n",
    "# Limit the map to -60 degrees latitude and below.\n",
    "ax.set_extent([-180, 180, 90, 60], ccrs.PlateCarree())\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ATL10 file: ../Data/ATL10-01_20181115003141_07240101_001_01.h5\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>freeboard</th>\n",
       "      <th>lon</th>\n",
       "      <th>lat</th>\n",
       "      <th>delta_time</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>datetime</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.092154</td>\n",
       "      <td>-168.648556</td>\n",
       "      <td>73.745906</td>\n",
       "      <td>219.501606</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2018-01-01 00:03:39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.054907</td>\n",
       "      <td>-168.648610</td>\n",
       "      <td>73.746011</td>\n",
       "      <td>219.503267</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2018-01-01 00:03:39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.043049</td>\n",
       "      <td>-168.648625</td>\n",
       "      <td>73.746040</td>\n",
       "      <td>219.503734</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2018-01-01 00:03:39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.024505</td>\n",
       "      <td>-168.648647</td>\n",
       "      <td>73.746084</td>\n",
       "      <td>219.504422</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2018-01-01 00:03:39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.004605</td>\n",
       "      <td>-168.648697</td>\n",
       "      <td>73.746182</td>\n",
       "      <td>219.505991</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2018-01-01 00:03:39</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   freeboard         lon        lat  delta_time  year  month  day  \\\n",
       "0   0.092154 -168.648556  73.745906  219.501606  2018      1    1   \n",
       "1   0.054907 -168.648610  73.746011  219.503267  2018      1    1   \n",
       "2   0.043049 -168.648625  73.746040  219.503734  2018      1    1   \n",
       "3   0.024505 -168.648647  73.746084  219.504422  2018      1    1   \n",
       "4   0.004605 -168.648697  73.746182  219.505991  2018      1    1   \n",
       "\n",
       "             datetime  \n",
       "0 2018-01-01 00:03:39  \n",
       "1 2018-01-01 00:03:39  \n",
       "2 2018-01-01 00:03:39  \n",
       "3 2018-01-01 00:03:39  \n",
       "4 2018-01-01 00:03:39  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# OK let's read in the ATL freeboard data from before...\n",
    "\n",
    "file_path = '../Data/'\n",
    "ATL10file='ATL10-01_20181115003141_07240101_001_01.h5'\n",
    "localFilePath = file_path + ATL10file\n",
    "beamStr='gt1r'\n",
    "dF10 = rd.getATL10data(localFilePath, beam=beamStr)\n",
    "dF10.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Let's transform these lat/lon to the Cartopy projection...\n",
    "r2 = projection.transform_points(pc_wgs1, dF10.lon.values, dF10.lat.values, dF10.freeboard.values)\n",
    "# 0 index is xpts, 1 index is ypts, 2 index is the transformed input data\n",
    "xptsATL10=r2[ :, 0]\n",
    "yptsATL10=r2[:, 1]\n",
    "freeboardProj=r2[:, 2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>freeboard</th>\n",
       "      <th>lon</th>\n",
       "      <th>lat</th>\n",
       "      <th>delta_time</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>datetime</th>\n",
       "      <th>snowDepthN</th>\n",
       "      <th>snowDensityN</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.092154</td>\n",
       "      <td>-168.648556</td>\n",
       "      <td>73.745906</td>\n",
       "      <td>219.501606</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2018-01-01 00:03:39</td>\n",
       "      <td>0.0061</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.054907</td>\n",
       "      <td>-168.648610</td>\n",
       "      <td>73.746011</td>\n",
       "      <td>219.503267</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2018-01-01 00:03:39</td>\n",
       "      <td>0.0061</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.043049</td>\n",
       "      <td>-168.648625</td>\n",
       "      <td>73.746040</td>\n",
       "      <td>219.503734</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2018-01-01 00:03:39</td>\n",
       "      <td>0.0061</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.024505</td>\n",
       "      <td>-168.648647</td>\n",
       "      <td>73.746084</td>\n",
       "      <td>219.504422</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2018-01-01 00:03:39</td>\n",
       "      <td>0.0061</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.004605</td>\n",
       "      <td>-168.648697</td>\n",
       "      <td>73.746182</td>\n",
       "      <td>219.505991</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2018-01-01 00:03:39</td>\n",
       "      <td>0.0061</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   freeboard         lon        lat  delta_time  year  month  day  \\\n",
       "0   0.092154 -168.648556  73.745906  219.501606  2018      1    1   \n",
       "1   0.054907 -168.648610  73.746011  219.503267  2018      1    1   \n",
       "2   0.043049 -168.648625  73.746040  219.503734  2018      1    1   \n",
       "3   0.024505 -168.648647  73.746084  219.504422  2018      1    1   \n",
       "4   0.004605 -168.648697  73.746182  219.505991  2018      1    1   \n",
       "\n",
       "             datetime  snowDepthN  snowDensityN  \n",
       "0 2018-01-01 00:03:39      0.0061           NaN  \n",
       "1 2018-01-01 00:03:39      0.0061           NaN  \n",
       "2 2018-01-01 00:03:39      0.0061           NaN  \n",
       "3 2018-01-01 00:03:39      0.0061           NaN  \n",
       "4 2018-01-01 00:03:39      0.0061           NaN  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Do nearest neighbor interpolation of snow data onto my x/y ATL10 points.\n",
    "# This is very slow - how can we speed this up! (help please...)\n",
    "\n",
    "# Declare arrays, tends to be faster than appending to lists..\n",
    "snowDepthsATL10=ma.masked_all(np.size(xptsATL10))\n",
    "snowDensityATL10=ma.masked_all(np.size(xptsATL10))\n",
    " \n",
    "# Loop through all ATL10 points and find nearest snow depth/density data..\n",
    "# Probably a much quicker way of doing this (Python tends to be slow when not benefitting from vector operations..)\n",
    "for x in range(np.size(xptsATL10)):\n",
    "    #print(x, '/', np.size(xptsATL10))\n",
    "    # one solution (seems slower..)\n",
    "    #snowDepthsATL10[x] = griddata((xptsN.flatten(), yptsN.flatten()), snowDepthProj.flatten(), (xptsATL10[x], yptsATL10[x]), method='nearest') \n",
    "    #snowDensityATL10[x] = griddata((xptsN.flatten(), yptsN.flatten()), snowDensityProj.flatten(), (xptsATL10[x], yptsATL10[x]), method='nearest') \n",
    "    dist = np.sqrt((xptsN.flatten()-xptsATL10[x])**2+(yptsN.flatten()-yptsATL10[x])**2)\n",
    "    index_min = np.argmin(dist)\n",
    "    snowDepthsATL10[x]=snowDepthProj.flatten()[index_min]\n",
    "    snowDensityATL10[x]=snowDensityProj.flatten()[index_min]\n",
    "        \n",
    "dF10['snowDepthN'] = pd.Series(snowDepthsATL10, index=dF10.index)\n",
    "dF10['snowDensityN'] = pd.Series(snowDensityATL10, index=dF10.index)\n",
    "dF10.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>freeboard</th>\n",
       "      <th>lon</th>\n",
       "      <th>lat</th>\n",
       "      <th>delta_time</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>datetime</th>\n",
       "      <th>snowDepthN</th>\n",
       "      <th>snowDensityN</th>\n",
       "      <th>iceThicknessN</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.092154</td>\n",
       "      <td>-168.648556</td>\n",
       "      <td>73.745906</td>\n",
       "      <td>219.501606</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2018-01-01 00:03:39</td>\n",
       "      <td>0.0061</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.054907</td>\n",
       "      <td>-168.648610</td>\n",
       "      <td>73.746011</td>\n",
       "      <td>219.503267</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2018-01-01 00:03:39</td>\n",
       "      <td>0.0061</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.043049</td>\n",
       "      <td>-168.648625</td>\n",
       "      <td>73.746040</td>\n",
       "      <td>219.503734</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2018-01-01 00:03:39</td>\n",
       "      <td>0.0061</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.024505</td>\n",
       "      <td>-168.648647</td>\n",
       "      <td>73.746084</td>\n",
       "      <td>219.504422</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2018-01-01 00:03:39</td>\n",
       "      <td>0.0061</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.004605</td>\n",
       "      <td>-168.648697</td>\n",
       "      <td>73.746182</td>\n",
       "      <td>219.505991</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2018-01-01 00:03:39</td>\n",
       "      <td>0.0061</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   freeboard         lon        lat  delta_time  year  month  day  \\\n",
       "0   0.092154 -168.648556  73.745906  219.501606  2018      1    1   \n",
       "1   0.054907 -168.648610  73.746011  219.503267  2018      1    1   \n",
       "2   0.043049 -168.648625  73.746040  219.503734  2018      1    1   \n",
       "3   0.024505 -168.648647  73.746084  219.504422  2018      1    1   \n",
       "4   0.004605 -168.648697  73.746182  219.505991  2018      1    1   \n",
       "\n",
       "             datetime  snowDepthN  snowDensityN  iceThicknessN  \n",
       "0 2018-01-01 00:03:39      0.0061           NaN            NaN  \n",
       "1 2018-01-01 00:03:39      0.0061           NaN            NaN  \n",
       "2 2018-01-01 00:03:39      0.0061           NaN            NaN  \n",
       "3 2018-01-01 00:03:39      0.0061           NaN            NaN  \n",
       "4 2018-01-01 00:03:39      0.0061           NaN            NaN  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Let's use these snow depth/density data to produce a thickness estimate..\n",
    "\n",
    "dF10=ut.getSnowandConverttoThickness(dF10, snowDepthVar='snowDepthN', \n",
    "                                 snowDensityVar='snowDensityN',\n",
    "                                 outVar='iceThicknessN')\n",
    "dF10.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the data\n",
    "var='snowDensityN'\n",
    "plt.figure(figsize=(12, 5))\n",
    "plt.plot((dF10['datetime']), dF10[var], color='g', marker='.', linestyle='', label='Freeboard', alpha=0.5)\n",
    "#plt.legend(frameon=False)\n",
    "plt.xlabel('Date time')\n",
    "plt.ylabel(var)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
